Data Science from the Command Line - Talk Python to me Ep.392

When you think data science, Jupyter notebooks and associated tools probably come to mind. But I want to broaden your toolset a bit and encourage you to look around at other tools that are literally at your fingertips. The terminal and shell command line tools.

On this episode, you'll meed Jeroen Janssens. He wrote the book Data Science on The Command Line Book and there are a bunch of fun and useful small utilities that will make your life simpler that you can run immediately in the terminal. For example, you can query a CSV file with SQL right from the command line.

▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe.

▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Jeroen's Website: https://jeroenjanssens.com/
Jeroen on LinkedIn:   / jeroenjanssens  
Jeroen cohort-based course, Embrace the Command Line. Listeners can use coupon code TALKPYTHON20 for a 20% discount: https://maven.com/data-science-worksh...

▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬

Data Science on The Command Line Book: https://datascienceatthecommandline.c...
McFly Shell History Tool: https://github.com/cantino/mcfly
Explain Shell: https://explainshell.com/
CSVKit: https://csvkit.readthedocs.io/en/late...
sql2csv: https://csvkit.readthedocs.io/en/late...
pipx: https://github.com/pypa/pipx
PyProject.toml to add entry points: https://github.com/mikeckennedy/twitt...
rich-cli: https://github.com/Textualize/rich-cli
Typer: typer.tiangolo.com
FasD: https://github.com/clvv/fasd
Nerd Fonts: https://www.nerdfonts.com/font-downloads
Xonsh: https://xon.sh/
iTerm: https://iterm2.com/
Windows Terminal: https://apps.microsoft.com/store/deta...
ohmyposh: https://ohmyposh.dev/
ohmyz: https://ohmyz.sh/
Listen this episode on Talk Python:https://talkpython.fm/episodes/show/3...
Episode transcripts:https://talkpython.fm/episodes/transc...
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